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arXiv · 2503.05228

RecipeGen: A Benchmark for Real-World Recipe Image Generation

Ruoxuan Zhang·Hongxia Xie·Yi Yao·Jian-Yu Jiang-Lin·Bin Wen·Ling Lo·Hong-Han Shuai·Yung-Hui Li·Wen-Huang Cheng
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Abstract

Recipe image generation is an important challenge in food computing, with applications from culinary education to interactive recipe platforms. However, there is currently no real-world dataset that comprehensively connects recipe goals, sequential steps, and corresponding images. To address this, we introduce RecipeGen, the first real-world goal-step-image benchmark for recipe generation, featuring diverse ingredients, varied recipe steps, multiple cooking styles, and a broad collection of food categories. Data is in https://github.com/zhangdaxia22/RecipeGen.

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Ruoxuan Zhang, Hongxia Xie, Yi Yao, Jian-Yu Jiang-Lin, Bin Wen, Ling Lo, Hong-Han Shuai, Yung-Hui Li, Wen-Huang Cheng. 2025-03-07. RecipeGen: A Benchmark for Real-World Recipe Image Generation. https://arxiv.org/abs/2503.05228

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